ArticleEJNMMI physics2016
Phantom criteria for qualification of brain FDG and amyloid PET across different cameras.
Article in EJNMMI physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed, 58 citations in OpenAlex.
- PET Image Reconstruction Using Deep Diffusion Image Prior.IEEE transactions on medical imaging · 2026Article
- Performance evaluation of a clinical SPECT system with multifocal collimator for brain studies.Medical physics · 2026Article
- Visual interpretation of [European journal of nuclear medicine and molecular imaging · 2026Article
- Quantitative validation of data-driven motion correction for brain PET using phantom with motion generator system.EJNMMI physics · 2025Article
- Measurement accuracy and practicality ofAnnals of nuclear medicine · 2025Article
- Development of an anomaly detection system for Gibbs artifact identification in amyloid PET imaging.Radiological physics and technology · 2025Article
- Data-Driven Image-Based Protocol for Brain PET Image Harmonization.Sensors (Basel, Switzerland) · 2025Article
- The Image Clarity Paradox: Higher CZT SPECT Contrast Does Not Always Translate to Diagnostic Accuracy for Alzheimer's Disease.Tomography (Ann Arbor, Mich.) · 2025Article
- The Taiwan-ADNI workflow toward integrating plasma p-tau217 into prediction models for the risk of Alzheimer's disease and tau burden.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Relationship between physical parameters and visual analysis for assessment of image quality: a multi-center and multi-vendor phantom study in brain SPECT.Asia Oceania journal of nuclear medicine & biology · 2025Article
- Optimization of penalization function in Bayesian penalized likelihood reconstruction algorithm for [Physical and engineering sciences in medicine · 2024Article
- StepBrain: A 3-Dimensionally Printed Multicompartmental Anthropomorphic Brain Phantom to Simulate PET Activity Distributions.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Combining plasma Aβ and p-tau217 improves detection of brain amyloid in non-demented elderly.Alzheimer's research & therapy · 2024Article
- Impact of PET Reconstruction on Amyloid-β Quantitation in Cross-Sectional and Longitudinal Analyses.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Phantom and clinical evaluation of the Bayesian penalised likelihood reconstruction algorithm Q.Clear without PSF correction in amyloid PET images.EJNMMI physics · 2024Article
- Harmonization of brain PET images in multi-center PET studies using Hoffman phantom scan.EJNMMI physics · 2023Article
- Toward standardization of tau PET imaging corresponding to various tau PET tracers: a multicenter phantom study.Annals of nuclear medicine · 2023Article
- A review of harmonization strategies for quantitative PET.Annals of nuclear medicine · 2023Review
- Dosimetry and efficacy of a tau PET tracer [Annals of nuclear medicine · 2023Article
- Clinical impact of amyloid PET usingAnnals of nuclear medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWhile fluorodeoxyglucose (FDG) and amyloid PET is valuable for patient management, research, and clinical trial of therapeutics on Alzheimer's disease, the specific details of the PET scanning method including the PET camera model type influence the image quality, which may further affect the interpretation of images and quantitative capabilities. To make multicenter PET data reliable and to establish PET scanning as a universal diagnostic technique and a verified biomarker, we have proposed phantom test procedures and criteria for optimizing image quality across different PET cameras.
resultsAs the method, four physical parameters (resolution, gray-white contrast, uniformity, and image noise) were selected as essential to image quality for brain FDG and amyloid PET and were measured with a Hoffman 3D brain phantom and a uniform cylindrical phantom on a total of 12 currently used PET models. The phantom radioactivity and acquisition time were determined based on the standard scanning protocol for each PET drug (FDG,
conclusionsThe proposed phantom test criteria facilitate standardization and qualification of brain FDG and amyloid PET images and deserve further evaluation by future multicenter clinical studies.
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